Triple
T5485132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busbridge |
E123559
|
entity |
| Predicate | distanceToGodalming |
P64311
|
FINISHED |
| Object | approximately 1 mile south-east |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 1 mile south-east | Statement: [Busbridge, distanceToGodalming, approximately 1 mile south-east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGodalming Context triple: [Busbridge, distanceToGodalming, approximately 1 mile south-east]
-
A.
distanceToEgham
Indicates the spatial distance between a given entity and the location of Egham.
-
B.
distanceToBasingstoke
Indicates the spatial distance between a given entity and the location of Basingstoke.
-
C.
distanceToWhitchurch
Indicates the spatial distance between a given entity and the location named Whitchurch.
-
D.
distanceToBingham
Indicates the measured or calculated distance between a given entity and the location named Bingham.
-
E.
distanceToStAlbans
Indicates the measured distance between a given entity’s location and the location of St Albans.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd93e4d2d081908eb75ee22fe72824 |
completed | March 20, 2026, 6:37 p.m. |
Created at: March 20, 2026, 2:10 p.m.